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AI and human tissue models unite to transform precision medicine

New platform predicts patient drug responses, boosting trial success and cutting development costs

08-Sep-2025

Key points from article :

Researchers from REPROCELL, IBM, and the STFC Hartree Centre have joined forces to create an AI-powered platform that could transform precision medicine. The system, called Pharmacology-AI, combines machine learning with human fresh tissue models to predict how different patients might respond to drug treatments. First applied to inflammatory bowel disease, the approach aims to reduce costly trial failures and accelerate the development of new medicines. Rather than replacing scientists, the AI acts as a decision-support tool, helping experts detect patterns in vast, complex datasets that would otherwise be impossible to analyse.

A key strength of the project lies in its use of human tissue models, which preserve the biological complexity of patient samples. By simulating drug effects before clinical trials, researchers can generate highly relevant data while avoiding some of the risks and expenses of early-stage testing. Graeme Macluskie of REPROCELL highlighted that this type of biological data is essential for making precision medicine viable, while IBM’s Dave Braines emphasised the importance of making AI outputs interpretable so that clinicians and researchers can trust and act on the findings.

The team also worked to ensure usability, developing a dashboard that allows even non-technical users to interact with the data. This focus on accessibility and interpretability means the platform can deliver both predictive power and actionable insights. The integration of backend optimisation and user-friendly visualisation was designed to make the system fast, responsive, and reliable – a necessity when dealing with high-volume patient datasets.

While its first focus is on inflammatory bowel disease, the platform has broad potential across multiple therapeutic areas. By identifying optimal patient profiles early, it could cut drug development costs by hundreds of millions of dollars and improve trial success rates. The collaboration demonstrates how merging AI with real-world biological models can fast-track personalised medicine, paving the way for more effective and targeted treatments across a wide range of diseases.

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International Business Machines (IBM)

A global technology company

REPROCELL

Biomedical company providing clinical‐grade stem cell services

STFC Hartree Centre

UK hub for high-performance computing and AI

Topics mentioned on this page:
Precision Medicine, AI in Medical Research
AI and human tissue models unite to transform precision medicine